Efficiently identify local frequent keyword co-occurrence patterns in geo-tagged Twitter stream.
Xiaoyang Wang|Ying Zhang|Wenjie Zhang|Xuemin Lin
| Anthology ID: | DBLP:conf/sigir/WangZZL14 |
|---|---|
| Volume: | The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014 |
| Year: | 2014 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1215-1218 |
| URL: | https://doi.org/10.1145/2600428.2609548 |
| DOI: | https://doi.org/10.1145/2600428.2609548 |
| DBLP: | conf/sigir/WangZZL14 |
| BibTeX: |
@inproceedings{wang-2014-efficiently,
author = {Xiaoyang Wang and
Ying Zhang and
Wenjie Zhang and
Xuemin Lin},
editor = {Shlomo Geva and
Andrew Trotman and
Peter Bruza and
Charles L. A. Clarke and
Kalervo J\"{a}rvelin},
title = {{Efficiently identify local frequent keyword co-occurrence patterns in geo-tagged Twitter stream}},
booktitle = {{The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014}},
pages = {1215--1218},
publisher = {ACM},
year = {2014},
url = {https://doi.org/10.1145/2600428.2609548},
doi = {https://doi.org/10.1145/2600428.2609548}
}